feat: Explore "Prime Intellect"-style clipping #295
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…ok; adjust policy loss clipping in training function
- Cleaned up the temporal-clue-7b.ipynb notebook for better readability and structure. - Added `max_negative_advantage_importance_sampling_weight` parameter to training configuration in `train.py`. - Improved assertion error message formatting in `unsloth/train.py` for clarity.
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